首页> 美国卫生研究院文献>other >Age gender neck circumference and Epworth sleepiness scale do not predict obstructive sleep apnea (OSA) in moderate to severe chronic obstructive pulmonary disease (COPD): The challenge to predict OSA in advanced COPD
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Age gender neck circumference and Epworth sleepiness scale do not predict obstructive sleep apnea (OSA) in moderate to severe chronic obstructive pulmonary disease (COPD): The challenge to predict OSA in advanced COPD

机译:年龄性别脖子围度和Epworth嗜睡量表不能预测中度至重度慢性阻塞性肺疾病(COPD)的阻塞性睡眠呼吸暂停(OSA):晚期COPD预测OSA的挑战

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摘要

The combination of chronic obstructive pulmonary disease (COPD) and obstructive sleep apnea (OSA) is associated with substantial morbidity and mortality. We hypothesized that predictors of OSA among patients with COPD may be distinct from OSA in the general population. Therefore, we investigated associations between traditional OSA risk factors (e.g. age), and sleep questionnaires [e.g. Epworth Sleepiness Scale] in 44 patients with advanced COPD. As a second aim we proposed a pilot, simplified screening test for OSA in patients with COPD. In a prospective, observational study of patients enrolled in the UCSD Pulmonary Rehabilitation Program we collected baseline characteristics, cardiovascular events (e.g. atrial fibrillation), and sleep questionnaires [e.g. Pittsburgh Sleep Quality Index (PSQI)]. For the pilot questionnaire, a BMI ≥25 kg/m2 and the presence of cardiovascular disease were used to construct the pilot screening test. Male: 59%; OSA 66%. FEV1 (mean ± SD) = 41.0±18.2% pred., FEV1/FVC = 41.5±12.7%]. Male gender, older age, and large neck circumference were not associated with OSA. Also, Epworth Sleepiness Scale and the STOP-Bang questionnaire were not associated with OSA in univariate logistic regression. In contrast, BMI ≥25 kg/m2 (OR = 3.94, p = 0.04) and diagnosis of cardiovascular disease (OR = 5.06, p = 0.03) were significantly associated with OSA [area under curve (AUC) = 0.74]. The pilot COPD-OSA test (OR = 5.28, p = 0.05) and STOP-Bang questionnaire (OR = 5.13, p = 0.03) were both associated with OSA in Receiver Operating Characteristics (ROC) analysis. The COPD-OSA test had the best AUC (0.74), sensitivity (92%), and specificity (83%). A ten-fold cross-validation validated our results.We found that traditional OSA predictors (e.g. gender, Epworth score) did not perform well in patients with more advanced COPD. Our pilot test may be an easy to implement instrument to screen for OSA. However, a larger validation study is necessary before further clinical implementation is warranted.
机译:慢性阻塞性肺疾病(COPD)和阻塞性睡眠呼吸暂停(OSA)的合并与大量发病率和死亡率相关。我们假设COPD患者中OSA的预测因素可能与普通人群中的OSA不同。因此,我们调查了传统OSA风险因素(例如年龄)和睡眠问卷之间的关联[例如[爱泼华嗜睡量表] 44例晚期COPD患者。作为第二个目标,我们提出了COPD患者OSA的简化试点试验。在对参加UCSD肺康复计划的患者进行的一项前瞻性观察研究中,我们收集了基线特征,心血管事件(例如心房颤动)和睡眠问卷[例如,匹兹堡睡眠质量指数(PSQI)]。对于试点调查表,使用BMI≥25 kg / m 2 以及是否存在心血管疾病来进行试点筛查测试。男性:59%; OSA 66%。 FEV1(平均值±SD)= 41.0±18.2%预测值,FEV1 / FVC = 41.5±12.7%]。男性,高龄和大颈围与OSA无关。同样,在单变量logistic回归中,Epworth睡眠量表和STOP-Bang问卷与OSA不相关。相比之下,BMI≥25kg / m 2 (OR = 3.94,p = 0.04)和心血管疾病的诊断(OR = 5.06,p = 0.03)与OSA显着相关[曲线下面积( AUC)= 0.74]。在接受者工作特征(ROC)分析中,先导性COPD-OSA测试(OR = 5.28,p = 0.05)和STOP-Bang调查表(OR = 5.13,p = 0.03)均与OSA相关。 COPD-OSA测试具有最佳的AUC(0.74),敏感性(92%)和特异性(83%)。十倍的交叉验证验证了我们的结果。我们发现,传统OSA预测指标(例如性别,爱普沃斯评分)在COPD更晚期的患者中表现不佳。我们的试点测试可能是一种易于实施的工具,可以筛选OSA。但是,在需要进一步临床实施之前,有必要进行更大的验证研究。

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